Meta and Apple Forge Rare Collaboration: 816 Billion-parameter Muse Spark Open-sourced, Can Run Locally on Just Two Mac Studio Devices
1 hours ago
Beating AI Express: Meta has open-sourced the weights of the Muse Spark Open model and partnered with Apple to enable this 816-billion-parameter large model to run natively on Mac Studio. The model activates only 42 billion parameters per inference, supports a 1-million-token context window, and is primarily targeted at programming and complex agent tasks. The weights were made available on Hugging Face on October 15; developers can apply for access after logging in and agreeing to the access terms. Meta and Apple have clashed multiple times in the past over privacy policies, but Meta CEO Mark Zuckerberg has now publicly thanked Apple executive John Ternus, who responded personally. The two companies leveraged Apple’s MLX framework to distribute the model across multiple Mac Studio units for execution. Even when compressed to 4-bit precision, the model requires around 493GB of memory; combined with inference overhead, a single Mac Studio cannot accommodate it. For practical deployment, at least two Mac Studio units equipped with M5 Ultra chips and 512GB of unified memory each are needed, with hardware costs exceeding $40,000. Apple’s tests show that four M5 Ultra Mac Studio units working together can generate roughly 37 tokens per second with an 8192-token context window. Meta has adopted a custom Muse Model License that allows developers to modify, commercialize, and distribute the model, but requires attribution of Muse Spark Open in products or related documentation. For enterprises and their affiliates with total annual revenue exceeding $20 million over 12 consecutive months, a separate agreement with Meta is required if they intend to offer the model as an API service.
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